The development of subjective logic has been a journey, on which this book represents a
milestone. The original idea of subjective logic came to my mind in 1996, while I was a Ph …

The use of network applications to manage network operations by the controller in SDN
architecture introduces a threat that makes the controller to be susceptible to several …

When collaborating with an AI system, we need to assess when to trust its
recommendations. If we mistakenly trust it in regions where it is likely to err, catastrophic …

Biometrics and biometric-enabled decision support systems (DSS) have become a
mandatory part of complex dynamic systems such as security checkpoints, personal health …

An issue that has so far received only limited attention in probabilistic logic programming
(PLP) is the modelling of so-called epistemic uncertainty, the uncertainty about the model …

Second-order Bayesian networks extend Bayesian networks by incorporating uncertainty in
the conditional probabilities. This paper develops a method for inference in a binary second …

Fault diagnosis plays a critical role in maintaining and troubleshooting engineered systems.
Various diagnosis models, such as Bayesian networks (BNs), have been proposed to deal …

This paper argues the need for research to realize uncertainty-aware artificial intelligence
and machine learning (AI\&ML) systems for decision support by describing a number of …

Correction activities (CAs), which can take the form of redesign, rework, or repair, are
essential to system development. Whereas verification activities (VAs) provide information …

Subjective Logic (SL) is one of well-known belief models that can explicitly deal with
uncertain opinions and infer unknown opinions based on a rich set of operators of fusing …